Dataset Versions

v1

Tiling-NoMosaic-FAST-model

Generated on Jul 29, 2022

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
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Dataset Split

Train Set 87%
1284Images
Valid Set 8%
124Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 2 rows x 2 columns
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Cutout: 6 boxes with 3% size each

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